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Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models.

, , , and . ICASSP (5), page 929-932. IEEE, (2006)

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Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models., , , and . ICASSP (5), page 929-932. IEEE, (2006)On a convergent stochastic estimation algorithm for frailty models., and . Stat. Comput., 23 (3): 413-423 (2013)Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models., , and . Comput. Stat. Data Anal., (2019)Blind source separation of noisy mixtures using a semi-parametric approach with application to heavy-tailed signals., , , , and . EUSIPCO, page 1-4. IEEE, (2005)Maximum likelihood estimation in nonlinear mixed effects models., and . Comput. Stat. Data Anal., 49 (4): 1020-1038 (2005)Stochastic Expectation Maximization algorithms for estimation in latent variable models: developments, analysis and applications.. (2015)Efficient preconditioned stochastic gradient descent for estimation in latent variable models., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1430-1453. PMLR, (2023)Properties of the stochastic approximation EM algorithm with mini-batch sampling., , and . Stat. Comput., 30 (6): 1725-1739 (2020)Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation., and . Comput. Stat. Data Anal., (2015)varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models., and . J. Stat. Softw., (2023)